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ORCIDShuqin Wang 0001
Person information
- affiliation: Shandong University of Aeronautics, College of Science, Binzhou, China
- affiliation (PhD 2023): Beijing Jiaotong University, Institute of Information Science, Beijing, China
- affiliation: Shandong University of Science and Technology, College of Mathematics and Systems Science, Qingdao, China
Other persons with the same name
- Shuqin Wang — disambiguation page
- Shuqin Wang 0002
![[0000-0003-4186-4393]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4186-4393")
— Jiangsu Normal University, Xuzhou, China
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2020 – today
- 2025
[j16]Qiangqiang Shen, Xuanqi Zhang, Shuqin Wang, Yuanman Li, Yongsheng Liang, Yongyong Chen:
Dual Completion Learning for Incomplete Multi-View Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 455-467 (2025)- 2024
- [j15]Yongyong Chen, Yin-Ping Zhao, Shuqin Wang, Junxin Chen, Zheng Zhang:
Partial Tubal Nuclear Norm-Regularized Multiview Subspace Learning. IEEE Trans. Cybern. 54(6): 3777-3790 (2024) - [j14]Yongyong Chen, Shuqin Wang, Yin-Ping Zhao, C. L. Philip Chen:
Double Discrete Cosine Transform-Oriented Multi-View Subspace Clustering. IEEE Trans. Image Process. 33: 2491-2501 (2024) - [j13]Tianhai Liang, Qiangqiang Shen, Shuqin Wang, Yongyong Chen, Guokai Zhang, Junxin Chen:
Data Completion-Guided Unified Graph Learning for Incomplete Multi-View Clustering. ACM Trans. Knowl. Discov. Data 18(8): 188:1-188:23 (2024) - 2023
- [j12]Yue Zhang, Shuqin Wang, Shichao Kan, Yigang Cen, Linna Zhang:
End-to-end feature diversity person search with rank constraint of cross-class matrix. Neurocomputing 518: 453-465 (2023) - [j11]Shuqin Wang, Yongyong Chen, Zhiping Lin, Yigang Cen, Qi Cao:
Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6302-6316 (2023) - [j10]Shuqin Wang, Zhiping Lin, Qi Cao, Yigang Cen, Yongyong Chen:
Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View Subspace Clustering. IEEE Trans. Image Process. 32: 4059-4072 (2023) - 2022
- [j9]Shuqin Wang, Yongyong Chen, Yigang Cen, Linna Zhang, Hengyou Wang, Viacheslav V. Voronin:
Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering. Appl. Intell. 52(13): 14651-14664 (2022) - [j8]Shuqin Wang, Yongyong Chen, Shuang Yi, Guoqing Chao:
Frobenius norm-regularized robust graph learning for multi-view subspace clustering. Appl. Intell. 52(13): 14935-14948 (2022) - [j7]Yongyong Chen, Shuqin Wang, Xiaolin Xiao, Youfa Liu, Zhongyun Hua, Yicong Zhou:
Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering. IEEE Trans. Multim. 24: 4054-4066 (2022) - [j6]Shuqin Wang, Yongyong Chen, Linna Zhang, Yigang Cen, Viacheslav V. Voronin:
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering. IEEE Trans. Signal Inf. Process. over Networks 8: 376-388 (2022) - [c3]Yongyong Chen, Shuqin Wang, Jingyong Su, Junxin Chen:
Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering. ICDM 2022: 897-902 - 2021
- [j5]Shuqin Wang, Yongyong Chen, Yi Jin, Yigang Cen, Yidong Li, Linna Zhang:
Error-robust low-rank tensor approximation for multi-view clustering. Knowl. Based Syst. 215: 106745 (2021) - [j4]Yongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, Yicong Zhou:
Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering. IEEE Trans. Image Process. 30: 4022-4035 (2021) - [c2]Shuqin Wang, Yongyong Chen, Yigang Ce, Linna Zhang, Viacheslav V. Voronin:
Low-Rank And Sparse Tensor Representation For Multi-View Subspace Clustering. ICIP 2021: 1534-1538 - [c1]Yongyong Chen, Shuqin Wang, Chong Peng, Guangming Lu, Yicong Zhou:
Partial Tubal Nuclear Norm Regularized Multi-view Learning. ACM Multimedia 2021: 1341-1349 - 2020
- [j3]Yongyong Chen, Shuqin Wang, Fangying Zheng, Yigang Cen:
Graph-regularized least squares regression for multi-view subspace clustering. Knowl. Based Syst. 194: 105482 (2020)
2010 – 2019
- 2018
- [j2]Shuqin Wang, Yongli Wang, Yongyong Chen, Peng Pan, Zhipeng Sun, Guoping He:
Robust PCA Using Matrix Factorization for Background/Foreground Separation. IEEE Access 6: 18945-18953 (2018) - [j1]Yongyong Chen, Shuqin Wang, Yicong Zhou:
Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization. IEEE J. Sel. Top. Signal Process. 12(6): 1364-1377 (2018)
Coauthor Index
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